Loading...
Loading...
3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,028 datasets
SAGE-3D Collision Mesh provides high-precision collision geometry for 1,000 indoor scenes, released by spatialverse in late 2025. The data was generated using Isaac Sim 5.0 from InteriorGS scenes to support physical navigation within 3D Gaussian Splatting environments.
High-resolution aerial and street view imagery documents the impact of the January 2025 Palisades Fire on civil infrastructure in Pacific Palisades and Malibu. The dataset includes approximately 6.5 square kilometers of geo-referenced orthomosaics, 3D point cloud models, and digital surface models collected in February/March and September 2025. It captures fire spread patterns, structural damage, and the effectiveness of firebreaks in the wildland-urban interface.
February/March and September 2025 data collection captured the immediate and post-event effects of the Palisades and Eaton wildfires in Los Angeles. This dataset provides high-resolution aerial and street view imagery focused on infrastructure performance within the wildland-urban interface. It supports research on fire spread, damage assessment, and the effectiveness of fire prevention methods in densely populated areas.
ShapeNet Processed is a dataset of 3D object models, likely derived from the original ShapeNet repository. The dataset is hosted on Kaggle and appears to be pre-processed for machine learning tasks. Specific details on the number of objects, file formats, and processing steps are not provided in the available metadata.
ModelNet40 is a processed dataset of 3D objects, likely derived from the original ModelNet40 collection. The dataset is hosted on Kaggle and its platform tags suggest a focus on computer vision and point cloud data. Specific details on the number of objects, processing steps, and original authorship are not provided in the available metadata.
Nemotron Perfect Synthetic Dataset is a dataset hosted on Kaggle. The platform tags suggest it contains synthetic, multimodal data likely intended for training artificial intelligence models. The dataset's specific content, size, and creation details are not provided in the available metadata.
A synthetic dataset from Kaggle focusing on the relationship between screen time and stress levels. The dataset likely contains simulated behavioral records for analysis and model development. Specific details on volume, authorship, and update frequency are not provided in the metadata.
Powerlifting Insights (Synthetic Data) is a dataset hosted on Kaggle. The title suggests it contains information related to powerlifting performance, likely including metrics such as lifts, bodyweight, or competition results. The data is synthetic, meaning it was generated rather than collected from real-world events.
This ninth installment of an industrial series provides synthetic multimodal point cloud data representing complex manufacturing environments. The collection features 3D spatial coordinates paired with multiple sensor modalities to simulate industrial scanning scenarios.
11th installment of a synthetic industrial dataset featuring multimodal point cloud data. Geometric representations of industrial components are provided through simulated 3D point clouds.
Synthetic Akkadian transliterations specifically generated for neural machine translation data augmentation. The dataset provides synthetic text pairs to facilitate back-translation for low-resource ancient language processing.
Synthetic records across multiple Iris species classes. SMOTE-based augmentation provides an enlarged sample set for multi-classification model training.
Synthetic 3D point cloud data across multiple industrial modalities and object categories. This collection serves as the second installment of a series for 3D spatial analysis in industrial automation.
This synthetic HR dataset provides employee records featuring intentional data quality issues such as missing values, inconsistent formatting, and duplicate entries. It covers standard organizational categories including employee names, department assignments, and hire dates to simulate real-world administrative data challenges.
One synthetic multimodal dataset containing industrial point cloud data as part of a multi-volume series. It provides simulated 3D spatial information and integrated sensor modalities for industrial automation and inspection tasks.
Synthetic FADEC telemetry and micro-electrical degradation records for the Boeing 787-8 aircraft engine ignition system. The data captures high-fidelity digital twin simulations of ignition sequences and electrical component wear over time.
Part 12 of a series of multimodal industrial synthetic point cloud datasets featuring simulated 3D spatial data. It provides high-fidelity geometric representations of industrial components for training robotic perception systems in manufacturing environments.
Multimodal synthetic point clouds representing industrial components and mechanical geometries. This dataset provides 3D spatial information and associated multimodal features specifically generated for industrial inspection and automation tasks.
This dataset comprises the fifth installment of a synthetic point cloud collection focused on industrial environments and objects. It provides multimodal 3D data designed to simulate complex industrial scenarios for computer vision tasks.
52,560 time-series records per mill across 5 industrial mills covering a full year of operations at 10-minute intervals. The data tracks the end-to-end industrial lifecycle including demand, backlog, production, maintenance, and failure events.